Abstract: 

In late 2019, a group of researchers discovered that not only does media coverage impact national suicide rates, but that coverage which isn’t aligned to the guidelines established in 2001 for reporting on suicide risks increasing national suicide rates by up to 13% (https://www.bmj.com/content/368/bmj.m575). In response, a team of nonprofit and for-profit organizations came together (including the researcher who created the original reporting guidelines, which have been endorsed by the WHO and CDC) to develop a ML-based UI for journalists (similar to Grammarly) to increase the adoption rate of these standards. In this session, we (if approved, a suicide prevention researcher will co-present with me) will demonstrate how this ML will save hundreds of thousands of lives as well as the best practices we’re using to maximize its technical efficacy and social impact. Note that this session will include a live demo.

Bio: 

Jennifer Redmon joined Cisco in 2009 and serves as its, and industry’s 1st, Chief Data & Analytics Evangelist as well as sits on Forbes’ Technology Council. Jennifer is a leader in developing data-driven cultures and organizational analytical maturity through qualitative and quantitative methods. Her approach to fostering a data-driven workforce is taught at multiple higher ed. institutions around the world. Jennifer is passionate about giving back and consequently, founded Cisco’s Data Science and AI for Good initiative. She leads the company’s award-winning Data Science and AI for Suicide Prevention Team, which, inspired by and in collaboration with WHO researchers, focus on de-stigmatizing mental illness through cultural change. Her authorship focuses on data- and analytics-driven cultures, mental health in the workplace, suicide prevention, as well as innovative applications of data science and AI including social good. Jennifer holds an international MBA from Duke University with a concentration in Strategy, Bachelor’s Degrees in Economics and Art History from UC Davis, is in Georgia Tech’s Master of Science in Analytics Spring 2021 class, and is a certified Suicide First Responder.